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Google’s Process for Translating Pictures into Words

By   /  December 4, 2014  /  No Comments

The MIT Technology Review recently wrote, “Translating one language into another has always been a difficult task.”

Google LogoThe MIT Technology Review recently wrote, “Translating one language into another has always been a difficult task. But in recent years, Google has transformed this process by developing machine translation algorithms that change the nature of cross cultural communications through Google Translate. Now that company is using the same machine learning technique to translate pictures into words. The result is a system that automatically generates picture captions that accurately describe the content of images. That’s something that will be useful for search engines, for automated publishing and for helping the visually impaired navigate the web and, indeed, the wider world.”

The article continues, “The conventional approach to language translation is an iterative process that starts by translating words individually and then reordering the words and phrases to improve the translation. But in recent years, Google has worked out how to use its massive search database to translate text in an entirely different way. The approach is essentially to count how often words appear next to, or close to, other words and then define them in an abstract vector space in relation to each other. This allows every word to be represented by a vector in this space and sentences to be represented by combinations of vectors.”

Read more here.

Image: Courtesy Google

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